Courses @ CMU

List of courses that I've taken.

Table of Contents

Undergrad

Graduation

Course reviews and general semester thoughts here.

Undergrad

Fall 2016

15-051 Discrete Math Primer
15-122 Principles of Imperative Computation
15-128 Freshman Immigration Course
15-131 Great Practical Ideas for Computer Scientists
15-151 Mathematical Foundations for Computer Science
21-242 Matrix Theory
76-101 Interpretation and Argument
99-101 Computing @ Carnegie Mellon

Spring 2017

15-150 Principles of Functional Programming
15-251 Great Theoretical Ideas in Computer Science
33-121 Physics I for Science Students
73-100 Principles of Economics
82-115 Beginning Arabic for Oral Communication

Fall 2017

TA 15-122
15-210 Parallel and Sequential Data Structures and Algorithms
15-213 Introduction to Computer Systems
21-268 Multidimensional Calculus
21-373 Algebraic Structures
82-117 Arabic Conversation & Dialect I
82-273 Introduction to Japanese Language and Culture

Spring 2018

TA 15-150
02-261 Quantitative Cell and Molecular Biology Laboratory
15-359 Probability and Computing
15-388 Practical Data Science
15-440 Distributed Systems
80-180 Nature of Language
98-317 StuCo: Hype for Types

Fall 2018

TA 15-150
15-300 Research and Innovation in Computer Science
15-312 Foundations of Programming Languages
15-354 Computational Discrete Mathematics
15-445 Database Systems
70-364 Business Law

Spring 2019

15-451 Algorithm Design and Analysis
15-591 Independent Study in Computer Science
15-721 Advanced Database Systems
21-355 Principles of Real Analysis I
69-102 Weight Training
70-366 Intellectual Property and E-Commerce
79-387 General Francisco Franco: Fascism and its Legacies in Spain

Fall 2019

TA 15-445
15-418 Parallel Computer Architecture and Programming
15-455 Undergraduate Complexity Theory
15-857 Analytical Performance Modeling
15-859 Algorithms for Big Data

Spring 2020

15-410 Operating System Design and Implementation
15-780 Graduate Artificial Intelligence
21-301 Combinatorics
33-120 Science and Science Fiction

PhD

Fall 2020

No classes

Fall 2021

10-701 Introduction to Machine Learning (PhD)
15-888 Computational Game Solving

Spring 2021

15-745 Optimizing Compilers for Modern Architectures
15-884 Machine Learning Systems
15-996 Diversity, Equity, and Inclusion in Computer Science and Society (Pilot)

Spring 2022

15-799 Advanced Topics in Database Systems: Self-Driving Database Systems

Fall 2022

TA 15-445

Graduation

BSc CS

Stellic transcript here.

CMU CORE

99-101 F16

CS CORE

15-128 F16
15-122 F16
15-150 S17
15-151 F16
15-210 F17
15-213 F17
15-251 S17
15-451 S19

CS AREAS

COM 15-300 F18
ALG 15-354 F18
LOG 15-312 F18
SYS 15-440 S18
APP 15-780 S20
EL1 15-388 S18
EL2 15-591 S19

CS MATH

21-120 AP
21-122 AP
21-242 F16
15-359 S18

CS SCI/ENG

09-105 AP
33-121 S17
LAB 02-261 S18
DEPT 33-120 S20

CS HUMANITIES

76-101 F16
CAT1 80-180 S18
CAT2 73-100 S17
CAT3 82-273 F17
ELE1 82-115 S17 + 82-117 F17
ELE2 70-364 F18
ELE3 70-366 S19 + 79-837 S19

SYSTEMS CONCENTRATION

At least 3 courses (27 units) not double-counted with anything else.

15-440 S18 DOUBLE-COUNT
15-445 F18
15-721 S19
15-418 F19
15-410 S20

THEORY CONCENTRATION

At least 3 courses (27 units) not double-counted with anything else.

15-455 F19
ELE1 15-354 F18 DOUBLE-COUNT
ELE2 15-857 F19
ELE3 15-859 F19

MATH MINOR

21-3xx electives cannot be double-counted.

15-151 F16 DOUBLE-COUNT
15-251 S17 DOUBLE-COUNT
21-242 F16 DOUBLE-COUNT
21-355 S19
ELE1 21-373 F17
ELE2 21-301 S20

UNUSED COURSES

15-051 - DMP
15-131 - GPI
21-268 - prereq for some stuff
69-102 - attempts at exercising
98-317 - hype for types

PhD CS

COURSES

At least one course from four different areas.

AI 15-884 S21
ALG 15-888 F21
CSYS 15-745 S21
PL N/A
SS 15-721 S19 TRANSFER

Two electives.

ELE1 10-701 F21
ELE2 15-799 S22

TEACHING

TA1 15-445 F22
TA2 15-721 S23

SKILLS

WRITING TBD
SPEAKING TBD

THESIS

PROPOSAL TBD
DEFENSE TBD